DocumentCode :
2833455
Title :
Shape from Shading based on Maximum Entropy
Author :
Wang, Shuzhen ; Xie, Kun ; Yuan, Ye ; Sheng, Lijie
Author_Institution :
Sch. of Comput., Xidian Univ., Xi´´an
fYear :
2008
fDate :
Aug. 29 2008-Sept. 2 2008
Firstpage :
287
Lastpage :
289
Abstract :
Because all the Shape from shading (SFS) algorithm depend on assumptions about the continuity of surface height and its partial derivatives, we add the smooth constraint to the objective function to enforce the integrability, and propose a new shape from shading algorithm based on maximum entropy. We present results of our new shape from shading method on a synthetic image. Results and comparisons showed that the new algorithm gives consistently better feature preserving reconstructions.
Keywords :
image reconstruction; maximum entropy methods; feature preserving reconstructions; maximum entropy; shape from shading algorithm; surface height continuity; synthetic image; Entropy; Shape; image reconstruction; maximum entropy; shape from shading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
Type :
conf
DOI :
10.1109/ICCSIT.2008.74
Filename :
4624877
Link To Document :
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